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<a href="_normalizer_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment"> * </span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> *</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> * \brief       Model for scaling and translation of data vectors.</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * </span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> *</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * \author      T. Glasmachers</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \date        2013</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> *</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * </span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * </span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * </span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * </span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> *</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> */</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="preprocessor">#ifndef SHARK_MODELS_NORMALIZER_H</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="preprocessor">#define SHARK_MODELS_NORMALIZER_H</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_model_8h.html">shark/Models/AbstractModel.h</a>&gt;</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#include &lt;<a class="code" href="_base_8h.html">shark/LinAlg/Base.h</a>&gt;</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="comment"></span> </div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="comment">///</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment">/// \brief &quot;Diagonal&quot; linear model for data normalization.</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment">///</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">/// The Normalizer is a restricted and often more efficient variant of</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">/// the LinearModel class. It restricts the linear model in two respects:</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">/// (1) input and output dimension must agree,</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">/// (2) computations are independent for each component.</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment">/// This is useful mostly for data normalization (therefore the name).</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/// The model&#39;s operation is of the form \f$ x \mapsto A x + b \f$ where</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">/// A is a diagonal matrix. This reduces memory requirements to linear,</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">/// which is why there is no sparse version of this model (as opposed to</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">/// the more general linear model). Also, the addition of b is optional.</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">///</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment">///</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> VectorType = RealVector&gt;</div>
<div class="foldopen" id="foldopen00059" data-start="{" data-end="};">
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html">   59</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_normalizer.html" title="&quot;Diagonal&quot; linear model for data normalization.">Normalizer</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel</a>&lt;VectorType, VectorType&gt;</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>{</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;VectorType, VectorType, VectorType&gt;</a> <a class="code hl_class" href="classshark_1_1_abstract_model.html">base_type</a>;</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_normalizer.html" title="&quot;Diagonal&quot; linear model for data normalization.">Normalizer&lt;VectorType&gt;</a> <a class="code hl_class" href="classshark_1_1_normalizer.html" title="&quot;Diagonal&quot; linear model for data normalization.">self_type</a>;</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span> </div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a7408418eee8abc1658985875bc4bd1ab">   65</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_normalizer.html#a7408418eee8abc1658985875bc4bd1ab">BatchInputType</a>;</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a6ab92ed11265d2d649ebf3856e1462a9">   66</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">base_type::BatchOutputType</a> <a class="code hl_typedef" href="classshark_1_1_normalizer.html#a6ab92ed11265d2d649ebf3856e1462a9">BatchOutputType</a>;</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment"></span> </div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment">    /// \brief Construction from dimension</span></div>
<div class="foldopen" id="foldopen00069" data-start="{" data-end="}">
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a199e3aed7be4f495a34da0483072ca6b">   69</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_normalizer.html#a199e3aed7be4f495a34da0483072ca6b" title="Construction from dimension.">Normalizer</a>(std::size_t dimension = 0, <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#a37c6d0765c3ddd9f92790affe172ecd3" title="check for the presence of an offset term">hasOffset</a> = <span class="keyword">false</span>)</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    { <a class="code hl_function" href="classshark_1_1_normalizer.html#a4ad645ce4a4509fac265a9276d9c117d" title="overwrite structure and parameters">setStructure</a>(dimension,<a class="code hl_function" href="classshark_1_1_normalizer.html#a37c6d0765c3ddd9f92790affe172ecd3" title="check for the presence of an offset term">hasOffset</a>);}</div>
</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span><span class="comment"></span> </div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span><span class="comment">    /// \brief Construction from matrix and and optional offset vector</span></div>
<div class="foldopen" id="foldopen00073" data-start="{" data-end="}">
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a013fab6a02d4d221f3317d7f836e4743">   73</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_normalizer.html#a013fab6a02d4d221f3317d7f836e4743" title="Construction from matrix and and optional offset vector.">Normalizer</a>(<a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_normalizer.html#a0ff5d29a00250f06f799ba7155569454" title="return the diagonal of the matrix">diagonal</a>, <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_normalizer.html#a8abf487791b879f20d292425abca937c" title="return the offset vector">offset</a> = <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a>())</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    { <a class="code hl_function" href="classshark_1_1_normalizer.html#a4ad645ce4a4509fac265a9276d9c117d" title="overwrite structure and parameters">setStructure</a>(<a class="code hl_function" href="classshark_1_1_normalizer.html#a0ff5d29a00250f06f799ba7155569454" title="return the diagonal of the matrix">diagonal</a>, <a class="code hl_function" href="classshark_1_1_normalizer.html#a8abf487791b879f20d292425abca937c" title="return the offset vector">offset</a>);}</div>
</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span> </div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment"></span> </div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00078" data-start="{" data-end="}">
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a44e86f0bf982b9f923ab9db3fb4d5db2">   78</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_normalizer.html#a44e86f0bf982b9f923ab9db3fb4d5db2" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;Normalizer&quot;</span>; }</div>
</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span><span class="comment"></span> </div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span><span class="comment">    /// \brief derivative storage object (empty for this model)</span></div>
<div class="foldopen" id="foldopen00082" data-start="{" data-end="}">
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#af23981098d22aa69fcf0b258efae50e8">   82</a></span><span class="comment"></span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_normalizer.html#af23981098d22aa69fcf0b258efae50e8" title="derivative storage object (empty for this model)">createState</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> <a class="code hl_struct" href="structshark_1_1_empty_state.html" title="Default State of an Object which does not need a State.">EmptyState</a>());</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>    }</div>
</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    <span class="comment"></span></div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span><span class="comment">    /// \brief check for the presence of an offset term</span></div>
<div class="foldopen" id="foldopen00087" data-start="{" data-end="}">
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a37c6d0765c3ddd9f92790affe172ecd3">   87</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#a37c6d0765c3ddd9f92790affe172ecd3" title="check for the presence of an offset term">hasOffset</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        <span class="keywordflow">return</span> !<a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>.empty();</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    }</div>
</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>    <span class="comment"></span></div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span><span class="comment">    /// \brief obtain the input dimension</span></div>
<div class="foldopen" id="foldopen00092" data-start="{" data-end="}">
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a3ed1c776011bf4c3b846b4314e5e8cf0">   92</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_normalizer.html#a3ed1c776011bf4c3b846b4314e5e8cf0" title="obtain the input dimension">inputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>.<a class="code hl_function" href="classshark_1_1_shape.html#ac9c42cc38131c57eac4cc0a5ecf8ca4f">size</a>();</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    }</div>
</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span><span class="comment"></span> </div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span><span class="comment">    /// \brief obtain the output dimension</span></div>
<div class="foldopen" id="foldopen00097" data-start="{" data-end="}">
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#af9539f7513c96fa81afcc0250bdb095c">   97</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_normalizer.html#af9539f7513c96fa81afcc0250bdb095c" title="obtain the output dimension">outputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>.<a class="code hl_function" href="classshark_1_1_shape.html#ac9c42cc38131c57eac4cc0a5ecf8ca4f">size</a>();</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>    }</div>
</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment"></span> </div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="comment">    /// \brief return the diagonal of the matrix</span></div>
<div class="foldopen" id="foldopen00102" data-start="{" data-end="}">
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a0ff5d29a00250f06f799ba7155569454">  102</a></span><span class="comment"></span>    <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_normalizer.html#a0ff5d29a00250f06f799ba7155569454" title="return the diagonal of the matrix">diagonal</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>;</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    }</div>
</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment"></span> </div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment">    /// \brief return the offset vector</span></div>
<div class="foldopen" id="foldopen00107" data-start="{" data-end="}">
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a8abf487791b879f20d292425abca937c">  107</a></span><span class="comment"></span>    <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_normalizer.html#a8abf487791b879f20d292425abca937c" title="return the offset vector">offset</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>;</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    }</div>
</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>    <span class="comment"></span></div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span><span class="comment">    /// \brief obtain the parameter vector</span></div>
<div class="foldopen" id="foldopen00112" data-start="{" data-end="}">
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a019f069459a4f5a83d98569cbd08980d">  112</a></span><span class="comment"></span>    <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <a class="code hl_function" href="classshark_1_1_normalizer.html#a019f069459a4f5a83d98569cbd08980d" title="obtain the parameter vector">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a> | <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>;</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    }</div>
</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment"></span> </div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment">    /// \brief overwrite the parameter vector</span></div>
<div class="foldopen" id="foldopen00117" data-start="{" data-end="}">
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#ad2beccfb155b9af3de17a2333069abd8">  117</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#ad2beccfb155b9af3de17a2333069abd8" title="overwrite the parameter vector">setParameterVector</a>(<a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; newParameters){</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(newParameters.size() == <a class="code hl_function" href="classshark_1_1_normalizer.html#a1e8e59c41788250c0164c18bf7652707" title="return the number of parameter">numberOfParameters</a>());</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        std::size_t dim = <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>.size();</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        noalias(<a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>) = subrange(newParameters,0,dim);</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        noalias(<a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>) = subrange(newParameters, dim, newParameters.size());</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>    }</div>
</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span><span class="comment"></span> </div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span><span class="comment">    /// \brief return the number of parameter</span></div>
<div class="foldopen" id="foldopen00125" data-start="{" data-end="}">
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a1e8e59c41788250c0164c18bf7652707">  125</a></span><span class="comment"></span>    std::size_t <a class="code hl_function" href="classshark_1_1_normalizer.html#a1e8e59c41788250c0164c18bf7652707" title="return the number of parameter">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>.size() + <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>.size();</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>    }</div>
</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span><span class="comment"></span> </div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span><span class="comment">    /// \brief overwrite structure and parameters</span></div>
<div class="foldopen" id="foldopen00130" data-start="{" data-end="}">
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a4ad645ce4a4509fac265a9276d9c117d">  130</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#a4ad645ce4a4509fac265a9276d9c117d" title="overwrite structure and parameters">setStructure</a>(<a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_normalizer.html#a0ff5d29a00250f06f799ba7155569454" title="return the diagonal of the matrix">diagonal</a>, <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_normalizer.html#a8abf487791b879f20d292425abca937c" title="return the offset vector">offset</a> = <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a>()){</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a> = <a class="code hl_function" href="classshark_1_1_normalizer.html#a0ff5d29a00250f06f799ba7155569454" title="return the diagonal of the matrix">diagonal</a>;</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>        <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a> = <a class="code hl_function" href="classshark_1_1_normalizer.html#a8abf487791b879f20d292425abca937c" title="return the offset vector">offset</a>;</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>    }</div>
</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span><span class="comment"></span> </div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span><span class="comment">    /// \brief overwrite structure and parameters</span></div>
<div class="foldopen" id="foldopen00136" data-start="{" data-end="}">
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a5361ce73894245520e4b34413fc573fc">  136</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#a5361ce73894245520e4b34413fc573fc" title="overwrite structure and parameters">setStructure</a>(std::size_t dimension, <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#a37c6d0765c3ddd9f92790affe172ecd3" title="check for the presence of an offset term">hasOffset</a> = <span class="keyword">false</span>){</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>.resize(dimension);</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>.resize(<a class="code hl_function" href="classshark_1_1_normalizer.html#a37c6d0765c3ddd9f92790affe172ecd3" title="check for the presence of an offset term">hasOffset</a>? dimension : 0);</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    }</div>
</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span> </div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>    <span class="keyword">using </span><a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">base_type::eval</a>;</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="comment"></span> </div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span><span class="comment">    /// \brief Evaluate the model: output = matrix * input + offset.</span></div>
<div class="foldopen" id="foldopen00144" data-start="{" data-end="}">
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#ac5be6bd6571bd6585a4e6d2ffefc6c89">  144</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#ac5be6bd6571bd6585a4e6d2ffefc6c89" title="Evaluate the model: output = matrix * input + offset.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_normalizer.html#a7408418eee8abc1658985875bc4bd1ab">BatchInputType</a> <span class="keyword">const</span>&amp; input, <a class="code hl_typedef" href="classshark_1_1_normalizer.html#a6ab92ed11265d2d649ebf3856e1462a9">BatchOutputType</a>&amp; output)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(input.size2() == <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>.size());</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        output.resize(input.size1(), input.size2());</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        noalias(output) = input * repeat(<a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>,input.size1());</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="classshark_1_1_normalizer.html#a37c6d0765c3ddd9f92790affe172ecd3" title="check for the presence of an offset term">hasOffset</a>()){</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>            noalias(output) += repeat(<a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>,input.size1());</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        }</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    }</div>
</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="comment"></span> </div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span><span class="comment">    /// \brief Evaluate the model: output = matrix * input + offset.</span></div>
<div class="foldopen" id="foldopen00154" data-start="{" data-end="}">
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a35d40fefcc0f0b510316d698e2a2a5c0">  154</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#a35d40fefcc0f0b510316d698e2a2a5c0" title="Evaluate the model: output = matrix * input + offset.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_normalizer.html#a7408418eee8abc1658985875bc4bd1ab">BatchInputType</a> <span class="keyword">const</span>&amp; input, <a class="code hl_typedef" href="classshark_1_1_normalizer.html#a6ab92ed11265d2d649ebf3856e1462a9">BatchOutputType</a>&amp; output, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>&amp; state)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        <a class="code hl_function" href="classshark_1_1_normalizer.html#ac5be6bd6571bd6585a4e6d2ffefc6c89" title="Evaluate the model: output = matrix * input + offset.">eval</a>(input, output);</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    }</div>
</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span><span class="comment"></span> </div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="comment">    /// from ISerializable</span></div>
<div class="foldopen" id="foldopen00159" data-start="{" data-end="}">
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#a70516fb4229bc2e1ac915e69d091841c">  159</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#a70516fb4229bc2e1ac915e69d091841c" title="from ISerializable">read</a>(<a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a>&amp; archive){</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>;</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    }</div>
</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span><span class="comment"></span> </div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="comment">    /// from ISerializable</span></div>
<div class="foldopen" id="foldopen00165" data-start="{" data-end="}">
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#af7a6042a8188ec54b40d326cfcdb95eb">  165</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_normalizer.html#af7a6042a8188ec54b40d326cfcdb95eb" title="from ISerializable">write</a>(<a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a>&amp; archive)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>;</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        archive &amp; <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>;</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    }</div>
</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span> </div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38">  171</a></span>    <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <a class="code hl_variable" href="classshark_1_1_normalizer.html#aafc48b4a3e2fee049e815973856afb38" title="matrix A (see class documentation)">m_A</a>;                <span class="comment">///&lt; matrix A (see class documentation)</span></div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"><a class="line" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf">  172</a></span>    <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <a class="code hl_variable" href="classshark_1_1_normalizer.html#af89b569611c4d4463867b4d95c76d4bf" title="vector b (see class documentation)">m_b</a>;                        <span class="comment">///&lt; vector b (see class documentation)</span></div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>};</div>
</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span> </div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span> </div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>}</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="preprocessor">#endif</span></div>
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